Learn IT - Books tags neural

Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence)

Springer, 2006

The idea for this second edition came from Janusz Kacprzyk on April 29, 2005, who kindly invited me to his new Springer series, Studies in Computational Intelligence. The initial plan was to correct the usual typos and mistakes but leave the book unchanged, as Janusz thought (and I agreed with him) that it was the proper moment...

Clojure Data Analysis Cookbook

Packt Publishing, 2013

Make more of your data using Clojure and this brilliant cookbook full of real-world recipes. From creating revealing graphs to using data analysis libraries, you'll learn both the basics and advanced techniques.

Overview

Get a handle on the torrent of data the modern Internet has created

Hybrid Architectures for Intelligent Systems

CRC Press, 1992

The interaction between Fuzzy Set theory and Neural Network theory is multi-faceted and occurs at many different levels. The connection between these two concepts occurs both in the framework of real and artificial neural systems.

The brain is not just a collection of neurons grouped together at some part of the animal’s body,...

Hybrid Methods in Pattern Recognition

Wordware Publishing, 2002

The discipline of pattern recognition has seen enormous progress since its beginnings more than four decades ago. Over the years various approaches have emerged, based on statistical decision theory, structural matching and parsing, neural networks, fuzzy logic, artificial intelligence, evolutionary computing, and others. Obviously, these...

Advances in Information Processing and Protection

Springer, 2007

This book contains a selection of the best papers given at the Advanced Computer Systems Conference in October 2006 in Poland. The book is partitioned into four topical areas:

The Artificial Intelligence section includes papers on Humatronics, Fuzzy Logic, Robotics, Cell, Genetic and Probabilistic Algorithms, Incomplete Data and Similarity...

Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Packt Publishing, 2018

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries

Key Features

Implement Q-learning and Markov models with Python and OpenAI

Explore the power of TensorFlow to build self-learning models

Eight AI...

Embodied Conceptualization or Neural Realization: A Corpus-Driven Study of Mandarin Synaesthetic Adjectives (Frontiers in Chinese Linguistics)

Springer, 2019

This book focuses on linguistic synaesthesia in a hitherto less-studied language – Mandarin Chinese – and adopts a corpus-driven approach to support the analysis and argumentation. The study identifies directional tendencies and underlying mechanisms for Mandarin synaesthetic adjectives. By doing so, it not only provides an...

Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and Keras

Packt Publishing, 2018

Explore TensorFlow's capabilities to perform efficient deep learning on images

Key Features

Discover image processing for machine vision

Build an effective image classification system using the power of CNNs

Leverage TensorFlow's capabilities to...

Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms (Studies in Computational Intelligence)

Springer, 2013

Intelligent Control considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type...

Principles of Data Mining (Adaptive Computation and Machine Learning)

MIT Press, 2001

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly...

C++ Neural Networks and Fuzzy Logic

M & T Books, 1995

The number of models available in neural network literature is quite large. Very often the treatment is mathematical and complex. This book provides illustrative examples in C++ that the reader can use as a basis for further experimentation. A key to learning about neural networks to appreciate their inner workings is to experiment. Neural...

Inductive Learning Algorithms for Complex System Modeling

CRC Press, 1994

Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and engineering. The book features discussions of algorithm development, structure, and behavior; comprehensive coverage of all types of algorithms useful for this...

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